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For: Tang Y, Wang H, Ma L, Zhang X, Yu G, Li J, Ye H. Diffusion-weighted imaging of hepatocellular carcinomas: a retrospective analysis of correlation between apparent diffusion coefficients and histological grade. Abdom Radiol (NY) 2016;41:1539-45. [PMID: 27003574 DOI: 10.1007/s00261-016-0715-x] [Cited by in Crossref: 15] [Cited by in F6Publishing: 13] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Wu ZH, Huang HM, Yang DL. Integrated analysis of the functions and prognostic values of RNA binding proteins in hepatocellular carcinoma. BMC Gastroenterol 2021;21:265. [PMID: 34130650 DOI: 10.1186/s12876-021-01843-0] [Reference Citation Analysis]
2 Shenoy-Bhangle A, Baliyan V, Kordbacheh H, Guimaraes AR, Kambadakone A. Diffusion weighted magnetic resonance imaging of liver: Principles, clinical applications and recent updates. World J Hepatol 2017; 9(26): 1081-1091 [PMID: 28989564 DOI: 10.4254/wjh.v9.i26.1081] [Cited by in Crossref: 32] [Cited by in F6Publishing: 30] [Article Influence: 6.4] [Reference Citation Analysis]
3 Park IK, Yu JS, Cho ES, Kim JH, Chung JJ. Apparent diffusion coefficient of hepatocellular carcinoma on diffusion-weighted imaging: Histopathologic tumor grade versus arterial vascularity during dynamic magnetic resonance imaging. PLoS One 2018;13:e0197070. [PMID: 29750794 DOI: 10.1371/journal.pone.0197070] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
4 Yang DW, Jia XB, Xiao YJ, Wang XP, Wang ZC, Yang ZH. Noninvasive Evaluation of the Pathologic Grade of Hepatocellular Carcinoma Using MCF-3DCNN: A Pilot Study.Biomed Res Int. 2019;2019:9783106. [PMID: 31183380 DOI: 10.1155/2019/9783106] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
5 Shan Q, Kuang S, Zhang Y, He B, Wu J, Zhang T, Wang J. A comparative study of monoexponential versus biexponential models of diffusion-weighted imaging in differentiating histologic grades of hepatitis B virus-related hepatocellular carcinoma. Abdom Radiol (NY) 2020;45:90-100. [PMID: 31595327 DOI: 10.1007/s00261-019-02253-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
6 Wu Z, Li C, Zhang Y, Lin R. Bioinformatics Study Revealed Significance of Exosome Transcriptome in Hepatocellular Carcinoma Diagnosis. Front Cell Dev Biol 2022;10:813701. [DOI: 10.3389/fcell.2022.813701] [Reference Citation Analysis]
7 Zhu D, Wu ZH, Xu L, Yang DL. Single sample scoring of hepatocellular carcinoma: A study based on data mining. Int J Immunopathol Pharmacol 2021;35:20587384211018389. [PMID: 34053310 DOI: 10.1177/20587384211018389] [Reference Citation Analysis]
8 Wáng YXJ, Wang X, Wu P, Wang Y, Chen W, Chen H, Li J. Topics on quantitative liver magnetic resonance imaging. Quant Imaging Med Surg 2019;9:1840-90. [PMID: 31867237 DOI: 10.21037/qims.2019.09.18] [Cited by in Crossref: 9] [Cited by in F6Publishing: 17] [Article Influence: 3.0] [Reference Citation Analysis]
9 Zhang L, Lin J, Jia M, Zhang C, Xu R, Guo L, Lin X, Wang Q. Clinical and imaging features preoperative evaluation of histological grade and microvascular infiltration of hepatocellular carcinoma. BMC Gastroenterol 2022;22. [DOI: 10.1186/s12876-022-02449-w] [Reference Citation Analysis]
10 Wu ZH, Yang DL. High CENPM mRNA expression and its prognostic significance in hepatocellular carcinoma: a study based on data mining. Cancer Cell Int 2020;20:406. [PMID: 32863765 DOI: 10.1186/s12935-020-01499-y] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 Kuai ZX, Sang XQ, Yao YF, Chu CY, Zhu YM. Evaluation of non-monoexponential diffusion models for hepatocellular carcinoma using b values up to 2000 s/mm2 : A short-term repeatability study. J Magn Reson Imaging 2019;50:297-304. [PMID: 30447032 DOI: 10.1002/jmri.26563] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
12 Wang F, Yan CY, Wang CH, Yang Y, Zhang D. The Roles of Diffusion Kurtosis Imaging and Intravoxel Incoherent Motion Diffusion-Weighted Imaging Parameters in Preoperative Evaluation of Pathological Grades and Microvascular Invasion in Hepatocellular Carcinoma. Front Oncol 2022;12:884854. [PMID: 35646649 DOI: 10.3389/fonc.2022.884854] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Wang M, Yuan F, Wei Y, Xia C, Hu F, Song B. Hepatocellular Carcinoma: In Vivo Evaluation of Water Percentage as a Prognostic Biomarker Using Magnetic Resonance Imaging 3D-VIBE Multiecho Dixon. Cancer Biother Radiopharm 2018;33:300-6. [PMID: 30109954 DOI: 10.1089/cbr.2018.2483] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
14 Wang GZ, Guo LF, Gao GH, Li Y, Wang XZ, Yuan ZG. Magnetic Resonance Diffusion Kurtosis Imaging versus Diffusion-Weighted Imaging in Evaluating the Pathological Grade of Hepatocellular Carcinoma. Cancer Manag Res 2020;12:5147-58. [PMID: 32636677 DOI: 10.2147/CMAR.S254371] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
15 Surov A, Pech M, Omari J, Fischbach F, Damm R, Fischbach K, Powerski M, Relja B, Wienke A. Diffusion-Weighted Imaging Reflects Tumor Grading and Microvascular Invasion in Hepatocellular Carcinoma. Liver Cancer 2021;10:10-24. [PMID: 33708636 DOI: 10.1159/000511384] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]